Matthew Kowal
@matthewkowal.bsky.social
PhD @ York University / Research Intern @ Ubisoft LaForge / Technical Lead @ VectorInst/ Previously @ Toyota Research Institute and @ NextAI
Interpretability and Computer Vision
Interpretability and Computer Vision
Reposted by Matthew Kowal
Our method reveals model-specific features too: DinoV2 (left) shows specialized geometric concepts (depth, perspective), while SigLIP (right) captures unique text-aware visual concepts.
This opens new paths for understanding model differences!
(7/9)
This opens new paths for understanding model differences!
(7/9)
February 7, 2025 at 3:15 PM
Our method reveals model-specific features too: DinoV2 (left) shows specialized geometric concepts (depth, perspective), while SigLIP (right) captures unique text-aware visual concepts.
This opens new paths for understanding model differences!
(7/9)
This opens new paths for understanding model differences!
(7/9)